Best AI papers explained
Un pódcast de Enoch H. Kang
526 Episodo
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Play2Prompt: Zero-Shot Tool Instruction Optimization via Tool Play
Publicado: 12/4/2025 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Publicado: 12/4/2025 -
API and GUI Agents: Divergence, Convergence, and Hybrid Approaches
Publicado: 12/4/2025 -
AI, Chess, and Competitive Advantage: Substitution and Complementation
Publicado: 12/4/2025 -
Knowledge of the Firm and Replication of Technology
Publicado: 12/4/2025 -
Firm Resources and Sustained Competitive Advantage
Publicado: 12/4/2025 -
Evaluating Pharmaceutical Marketing to Physicians with Panel Data
Publicado: 12/4/2025 -
Theory of the firm in the era of Agents
Publicado: 12/4/2025 -
Large Language Models: An Applied Econometric Framework
Publicado: 12/4/2025 -
Evaluating the World Model Implicit in a Generative Model
Publicado: 12/4/2025 -
Machine Learning for Hypothesis Generation in Social Science
Publicado: 11/4/2025 -
Active Learning for Moral Preference Elicitation: Challenges and Nuances
Publicado: 11/4/2025 -
Gradient-Based Surveys for Nonparametric Discrete Choice Experiments
Publicado: 11/4/2025 -
Explainable Data-driven Share-of-choice Product Line Design Optimization
Publicado: 11/4/2025 -
The More You Ask, the Less You Get: When Additional Questions Hurt External Validity
Publicado: 11/4/2025 -
Conjoint topics from Handbook of Marketing Analytics: Methods and Applications
Publicado: 11/4/2025 -
Choice-Based Conjoint Analysis: Methods and Applications
Publicado: 11/4/2025 -
Beyond Conjoint Analysis: The Future of Preference Measurement
Publicado: 11/4/2025 -
An Optimization Framework for Adaptive Questionnaire Design
Publicado: 11/4/2025 -
Adaptive Self-Explication of Multiattribute Preferences
Publicado: 11/4/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
